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vidgame_sales's Introduction

Video game sales

First data project(EDA) using excel, power pivot, and simple relational database

Raw data is in vgsales.csv from https://www.kaggle.com/datasets/gregorut/videogamesales
additional data created by me in companies.txt and in excel sheet 'plaforms'

Main focus of this project is to present in simple charts and tables, diffrent statistics about video game sales, varrying from year, publisher, genere etc. Only for showcasing proficiency in excel and simple data manipulation, analysis and visualization

STEPS TAKEN)

  1. taking unique values of Platform tab from DATA, googling full names and assinging them to company, creating table: platforms - relation with DATA(one-to-many)
  2. taking unique publishers, asked ChatGpt to give me csv file as: "Company","Country". "Country" informs where publisher is registered, creating table publisher - relation with DATA(one-to-many)
  3. Using Power Querry to add those 3 data tables to model and combaining them into database where in table DATA: Primary Key is Rank, Foreing Key(Primary for platforms) is Platform, Foreing Key(Primary for publisher) is Publisher

Here are the charts //I WILL CREATE DASHBOARD IN FUTURE OR MOVE TO NEXT PROJECT

CHART 1 GLOBAL SALES #1 (comment)

CHART 2 GLOBAL SALES BY COUNTRY TREE #2 (comment)

TABLE 1 GAME RANK BY GENERES #3 (comment)

CHART 3, TABLE 2 #4 (comment)

CHART 4 #5 (comment)

CHART 5 #7 (comment)

SOME ISSUES/BUG FIXING

  1. Power Querry transforming decimal numbers from 0.0 format to 0,0, because of polish excel
  2. IDENTIFYING 2 PROBLEMS 1: YEARS 2017 and 2020 ARE MISSING A LOT OF VALUES AND 2016 HAVE ONLY A THIRD OF IT'S DATA// 2: THERE IS N/A ERROR IN YEARS
  3. "Uknown" or N\A publishers also filtered to clean data

IDEAS.

  1. In chart 1. global sales by category and game I learnt that I can add labels automaticly from my specified array to change way my chart looks. (POMYSL NA GIF JAK TO ROBISZ W PRZYSZŁOSCI)

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vidgame_sales's Issues

Table 1 Highest rated games by genere and their respective ranks

<style> </style>
Genere Platform Game Rank
Sports Wii Wii Sports 1
Platform NES Super Mario Bros. 2
Racing Wii Mario Kart Wii 3
Role-Playing GB Pokemon Red/Pokemon Blue 5
Puzzle GB Tetris 6
Misc Wii Wii Play 8
Shooter NES Duck Hunt 10
Simulation DS Nintendogs 11
Action PS3 Grand Theft Auto V 17
Fighting Wii Super Smash Bros. Brawl 40
Adventure GB Super Mario Land 2: 6 Golden Coins 51
Strategy N64 Pokemon Stadium 166

Platform releases chart 3 table 2

<style> </style>
Company Platform Global Sales
Sony PlayStation 2 1230,69
  PlayStation 3 945,52
  PlayStation 726,42
  PlayStation Portable 289,8
  PlayStation 4 238,74
  PlayStation Vita 58,17
Sony Suma   3489,34
Nintendo Wii 909,03
  Nintendo 1DS 817,44
  Game Boy Advance 304,29
  Game Boy 254,42
  Nintendo Entertainment System 251,07
  Nintendo 3DS 239,21
  Nintendo 64 218,21
  Super Nintendo Console 200,05
  GameCube 197,04
  WiiU 78,57
Nintendo Suma   3469,33
Microsoft Xbox 360 967,87
  Xbox Classic 252,09
  Xbox One 128,66
Microsoft Suma   1348,62
PC Personal Computer 250,7
PC Suma   250,7
Atari Atari 2600 86,28
Atari Suma   86,28
Sega Sega Saturn 33,59
  Sega Gensis 28,36
  Dreamcast 15,97
  Sega Mega Drive Console 1,87
  Game Gear 0,04
Sega Suma   79,83
SNK Neo Geo 1,44
SNK Suma   1,44
Bandai WonderSwan 1,42
Bandai Suma   1,42
NEC TurboGrafx-16 0,16
  PC-FX 0,03
NEC Suma   0,19
The 3DO Company 3DO Interactive Multiplayer 0,1
The 3DO Company Suma 0,1
Suma końcowa   8727,25

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